Jingxian Liu | Computer Vision | Best Researcher Award

Posted on by Academic achievements

Mr. Jingxian Liu | Computer Vision | Best Researcher Award

Associate Research Fellow‌ at Guangzhou Maritime University, China.

Mr. Jingxian Liu is an Associate Research Fellow at Guangzhou Maritime University. Born in November 1984 in Guangzhou, China, he specializes in remote sensing and communication systems. His research focuses on digital twins, intelligent state prediction, and maneuvering-target tracking using advanced computational methods. Liu has authored numerous high-impact publications and has led several national and regional research projects, contributing significantly to the field of geoscience and remote sensing.

Profile Verification

Scopus 

Education

Jingxian Liu pursued his doctoral studies in Communication and Information Systems at Beihang University (2013-2018) after completing a Master’s degree in Geodetection and Information Technology from China University of Geoscience (Beijing, 2007-2010). He holds a Bachelor’s degree in Electronic Information Engineering from China University of Geoscience (Beijing, 2003-2007). His educational background has equipped him with a solid foundation in engineering and remote sensing technologies.

Experience

Jingxian Liu currently serves as an Associate Research Fellow at Guangzhou Maritime University since March 2024. Prior to this, he was an Associate Research Fellow at Guangxi University of Science and Technology from December 2018 to December 2023. During this period, he contributed significantly to research projects focusing on remote sensing and digital twin technologies. Earlier in his career, Liu worked as an Engineer at the China Shipbuilding Industry Corporation’s 760th Research Institute from July 2010 to June 2013. His role there involved conducting research and development activities aimed at advancing engineering technologies in shipbuilding and marine industries.

Research Interests

Jingxian Liu’s research primarily revolves around remote sensing image processing, digital twins, intelligent state prediction, and maneuvering-target tracking. His innovations include fast arbitrary-oriented object detection for remote sensing images, differential correction based shadow removal methods, and deep learning algorithms for maneuvering-target tracking. His work significantly advances understanding in these areas, applying cutting-edge computational techniques to solve complex challenges.

Publications

Fast arbitrary-oriented object detection for remote sensing images

Authors: Liu, J.; Tang, J.; Yang, F.; Zhao, Y.

Citations: 0

Year: 2024

Task Demands-Oriented Collaborative Offloading and Deployment Strategy in Software-Defined UAV-Assisted Edge Networks

Authors: Yan, J.; Wang, W.; Liu, J.; Yuan, H.; Zhu, Y.

Citations: 0

Year: 2024

HDDet: A More Common Heading Direction Detector for Remote Sensing and Arbitrary Viewing Angle Images

Authors: Ding, S.; Liu, J.; Yang, F.; Xu, M.

Citations: 1

Year: 2024

Digital Twins Based Intelligent State Prediction Method for Maneuvering-Target Tracking

Authors: Liu, J.; Yan, J.; Wan, D.; Al-Dulaimi, A.; Quan, Z.

Citations: 5

Year: 2023

Locating the propagation source in complex networks with observers-based similarity measures and direction-induced search

Authors: Yang, F.; Li, C.; Peng, Y.; Wen, J.; Yang, S.

Citations: 7

Year: 2023

Diffusion characteristics classification framework for identification of diffusion source in complex networks

Authors: Yang, F.; Liu, J.; Zhang, R.; Yao, Y.

Citations: 1

Year: 2023

A differential correction based shadow removal method for real-time monitoring

Authors: Liu, S.; Chen, M.; Li, Z.; Liu, J.; He, M.

Citations: 0

Year: 2023

A cross-and-dot-product neural network based filtering for maneuvering-target tracking

Authors: Liu, J.; Yang, S.; Yang, F.

Citations: 6

Year: 2022

Micro-Knowledge Embedding for Zero-shot Classification

Authors: Li, H.; Wang, F.; Liu, J.; Zhang, T.; Yang, S.

Citations: 3

Year: 2022

An identification strategy for unknown attack through the joint learning of space–time features

Authors: Wang, H.; Mumtaz, S.; Li, H.; Liu, J.; Yang, F.

Citations: 6

Year: 2021

 

Conclusion

Jingxian Liu is a highly deserving candidate for the Research for Best Researcher Award due to his significant contributions to remote sensing, digital twins, and maneuvering-target tracking. His innovative research methodologies, high-impact publications, and leadership in large-scale research projects position him as a leader in his field. Continued efforts to enhance industry collaborations and community engagement will further solidify his status as a key figure in advancing technological solutions for environmental and geospatial challenges.

 

Mohammed Albaroot | Petroleum Geology | Best Researcher Award

Posted on by Academic achievements

Assist Prof Dr. Mohammed Albaroot | Ecology  | Best Researcher Award

Assist Prof Dr . at University of Saba Region, Yemen

Mohammed Ali Albaroot is an accomplished geologist with extensive experience spanning various roles in the field. Beginning with a background in Engineering Geology from Aden University, Yemen, he furthered his education with an M.Sc. and Ph.D. in Applied Geology from AMU, India. His career includes significant contributions as a Mud Logger and Geologist at Baker Hughes and Petroservice Middle East across Yemen, Qatar, and Syria. Mohammed’s expertise lies in Geology, Reservoir Characterization, and Basin Modeling, with a specific focus on Geophysics. He has also taught English briefly and served as an Engineering Geologist at the General Authority for Development, Marib Al-Juff.

 

Professional Profiles

Scopus Profile

Orcid

Education 🎓

Ph.D. in Geology
Aligarh Muslim University, Aligarh, Uttar Pradesh, India
Duration: February 6, 2015 – February 19, 2018

Academic and Professional Profile 🎓🌍

Current Position 📘

Assistant Professor
Department of Geology
University of Saba Region, Marib, Yemen
Duration: September 1, 2018 – Present

Degree University Department Year Grade & Rank Country
High school – H.S.A. 2000 Good Yemen
Bachelors Aden Eng. Geology 2004 Good Yemen
Master (M.Sc. degree) AMU Appl. Geology 2014 1st division India

Awards🏆  

Won Best Paper Presentation Award
Eighth All India Students Symposium on Geology (Date: 2017)

 

 Publications

The Upper Jurassic sediments, Marib-Shabwa Basin, Yemen: Lithofacies aspects and sequence stratigraphic analysis

Journal: Energy Geoscience

Date: January 2024

DOI: 10.1016/j.engeos.2023.100214

Contributors: Mohammed Albaroot, Mohamed M. Elhossainy, Nabil M. Al-Areeq, Emad A. Abdullah, Abdelhamid M. Salman

Upper Jurassic Source Rock Evaluation and Thermal Maturity Evolution of the NW Sab’Atayn Basin, Yemen

Journal: Geoinformatica Polonica

Date: December 2023

DOI: 10.4467/21995923GP.23.006.18605

Contributors: Nabeel A. S. Al-Azazi, A. S. A. E. Alsrory, Mohammed Albaroot

1D modelling of the NW Sab’atayn Basin Upper Jurassic source rocks, Yemen: Implications for hydrocarbon generation and thermal maturity

Journal: Geological Journal

Date: July 2022

DOI: 10.1002/gj.4438

Contributors: A. S. A. E. Alsrory, Nabeel A. S. A. Al‐Azazi, Mohammed Albaroot, M. A. Quasim

Effect evaluation of shale types on hydrocarbon potential using well logs and crossplot approach, Halewah oilfield, Sab’atayn Basin, Yemen

Journal: Energy Geoscience

Date: April 2022

DOI: 10.1016/j.engeos.2021.12.005

Contributors: Nabeel A.S. Al Al-Azazi, A.S.A.E. Alsrory, Mohammed Albaroot

Integrated approach of lithofacies and granulometric analysis of the sediments of the Proterozoic Upper Kaimur Group of Vindhyan Supergroup, Son Valley, India: Palaeo-environmental implications

Journal: Geological Journal

Date: 2020

DOI: 10.1002/gj.3781

Contributors: Quasim, M.A.; Ghosh, S.K.; Ahmad, A.H.M.; Srivastava, V.K.; Albaroot, M.

Demarcation of hydrocarbon potential zones for Qishn clastic member, Masila oil field, Yemen

Journal: Arabian Journal of Geosciences

Date: 2019

DOI: 10.1007/s12517-019-4299-y

Contributors: Alshayef, M.S.; Javed, A.; Al-Areeq, N.M.; Albaroot, M.

Factors influencing Detrital Mineralogy and Tectono-provenance of Fort Member Sandstone, Jaisalmer Formation, Western Rajasthan, India

Journal: Journal of the Geological Society of India

Date: 2019

DOI: 10.1007/s12594-019-1193-x

Contributors: Ahmad, F.; Quasim, M.A.; Ahmad, A.H.M.; Ghaznavi, A.A.; Khan, Z.; Albaroot, M.

An approach to provenance and tectonic setting of the Proterozoic Upper Kaimur group sandstones, Son valley: Constraints from framework mineralogy and heavy mineral analysis

Journal: Himalayan Geology

Date: 2018

DOI: Not specified

Contributors: Quasim, M.A.; Hota, R.N.; Ahmad, A.H.M.; Albaroot, M.

Petroleum source rocks characterization and hydrocarbon generation of the Upper Jurassic succession in Jabal Ayban field, Sabatayn Basin, Yemen

Journal: Egyptian Journal of Petroleum

Date: 2018

DOI: 10.1016/j.ejpe.2017.12.005

Contributors: Al-Areeq, N.M.; Al-Badani, M.A.; Salman, A.H.; Albaroot, M.A.